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AWS DATABASES EXAM 2026 VERSION WITH
QUESTIONS AND ANSWERS
Short Overview
This AWS Databases Exam (Version 2) evaluates your knowledge and practical
skills across relational, NoSQL, in-memory, graph, and time-series databases on
AWS. It combines conceptual understanding, architectural scenarios, and hands-
on problem-solving.
Key topics include:
• Managed relational databases (RDS, Aurora, Redshift) and high-availability
strategies
• NoSQL databases (DynamoDB, DocumentDB, QLDB) and global replication
• Caching and in-memory solutions (ElastiCache, MemoryDB)
• Graph (Neptune) and time-series (Timestream) databases
• Database security, encryption, monitoring, backups, and compliance
• Migration, replication, disaster recovery, and scaling best practices
This exam includes 100 realistic questions with detailed answers and rationales,
designed to prepare learners for AWS Certified Database – Specialty certification
or cloud database roles.
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Section 1: Relational Databases (RDS, Aurora, Redshift) – 25
Questions (1–25)
1. Which AWS service provides fully managed MySQL,
PostgreSQL, Oracle, MariaDB, and SQL Server databases?
A. DynamoDB
B. RDS
C. Aurora
D. Redshift
Answer: B. RDS
Rationale: Amazon RDS is a managed relational database
service supporting multiple database engines with automated
backups, patching, and scaling.
2. Aurora Global Database is primarily used to:
A. Scale read traffic within a single AZ
B. Replicate databases across multiple AWS Regions
C. Cache database queries
D. Perform time-series analytics
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Answer: B. Replicate databases across multiple AWS Regions
Rationale: Aurora Global Database replicates a primary cluster
across multiple regions for low-latency reads and disaster
recovery.
3. Which Redshift feature allows querying structured and
semi-structured data in S3 without loading it into Redshift
tables?
A. Spectrum
B. Aurora Serverless
C. Global Tables
D. DynamoDB Streams
Answer: A. Spectrum
Rationale: Redshift Spectrum allows analytics on S3 data (CSV,
Parquet, JSON) directly, without moving it into Redshift.
4. Which RDS deployment option ensures high availability
with automatic failover?
A. Multi-AZ
B. Read Replica
C. Single-AZ
D. Aurora Serverless
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Answer: A. Multi-AZ
Rationale: Multi-AZ deployments replicate data to a standby
instance in another AZ for automatic failover.
5. Which Aurora feature automatically adjusts compute
capacity for infrequently used databases?
A. Multi-Master
B. Aurora Serverless
C. Read Replica
D. Global Database
Answer: B. Aurora Serverless
Rationale: Aurora Serverless automatically scales compute
resources up or down based on demand.
6. For high-volume analytical queries over petabyte-scale
datasets, which AWS database service is recommended?
A. RDS MySQL
B. Redshift
C. DynamoDB
D. Neptune
Answer: B. Redshift
Rationale: Redshift is optimized for OLAP workloads and large-
scale analytics.
AWS DATABASES EXAM 2026 VERSION WITH
QUESTIONS AND ANSWERS
Short Overview
This AWS Databases Exam (Version 2) evaluates your knowledge and practical
skills across relational, NoSQL, in-memory, graph, and time-series databases on
AWS. It combines conceptual understanding, architectural scenarios, and hands-
on problem-solving.
Key topics include:
• Managed relational databases (RDS, Aurora, Redshift) and high-availability
strategies
• NoSQL databases (DynamoDB, DocumentDB, QLDB) and global replication
• Caching and in-memory solutions (ElastiCache, MemoryDB)
• Graph (Neptune) and time-series (Timestream) databases
• Database security, encryption, monitoring, backups, and compliance
• Migration, replication, disaster recovery, and scaling best practices
This exam includes 100 realistic questions with detailed answers and rationales,
designed to prepare learners for AWS Certified Database – Specialty certification
or cloud database roles.
,2
Section 1: Relational Databases (RDS, Aurora, Redshift) – 25
Questions (1–25)
1. Which AWS service provides fully managed MySQL,
PostgreSQL, Oracle, MariaDB, and SQL Server databases?
A. DynamoDB
B. RDS
C. Aurora
D. Redshift
Answer: B. RDS
Rationale: Amazon RDS is a managed relational database
service supporting multiple database engines with automated
backups, patching, and scaling.
2. Aurora Global Database is primarily used to:
A. Scale read traffic within a single AZ
B. Replicate databases across multiple AWS Regions
C. Cache database queries
D. Perform time-series analytics
,3
Answer: B. Replicate databases across multiple AWS Regions
Rationale: Aurora Global Database replicates a primary cluster
across multiple regions for low-latency reads and disaster
recovery.
3. Which Redshift feature allows querying structured and
semi-structured data in S3 without loading it into Redshift
tables?
A. Spectrum
B. Aurora Serverless
C. Global Tables
D. DynamoDB Streams
Answer: A. Spectrum
Rationale: Redshift Spectrum allows analytics on S3 data (CSV,
Parquet, JSON) directly, without moving it into Redshift.
4. Which RDS deployment option ensures high availability
with automatic failover?
A. Multi-AZ
B. Read Replica
C. Single-AZ
D. Aurora Serverless
, 4
Answer: A. Multi-AZ
Rationale: Multi-AZ deployments replicate data to a standby
instance in another AZ for automatic failover.
5. Which Aurora feature automatically adjusts compute
capacity for infrequently used databases?
A. Multi-Master
B. Aurora Serverless
C. Read Replica
D. Global Database
Answer: B. Aurora Serverless
Rationale: Aurora Serverless automatically scales compute
resources up or down based on demand.
6. For high-volume analytical queries over petabyte-scale
datasets, which AWS database service is recommended?
A. RDS MySQL
B. Redshift
C. DynamoDB
D. Neptune
Answer: B. Redshift
Rationale: Redshift is optimized for OLAP workloads and large-
scale analytics.
